Fuzzy-inference-based decision-making method for the systematization of statistical process capability control

Choi, Young−Hwan; Na, Gun-Yeol; Yang, Jeong In

doi:10.1016/j.compind.2020.103296

Cited by 16 publications

(10 citation statements)

References 20 publications

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“…Once the process mapping is done, the control and analysis part comes into the picture. This allows us to determine whether the process is in control or not and to analyze if the quality improvement efforts have the desired effect [5].…”

Section: Process Mapping Analysis and Controlmentioning

confidence: 99%

Benefit Using Statistical Process Control (Spc) for Process Control in Textile Manufacturing : A Review

Perkasa

2021

J. Mech. Sci. Eng.

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The history of technological developments affects the way we can provide services to customers quickly. One of the methods of industrial Control Systems is the statistical process control method (SPC) for short-term production. This review aims to explain some of the advantages of the SPC method, namely in terms of monitoring multistage processes and fault diagnosis has become a necessity. by Entering process control. The SPC and hybrid approaches and their results help in building a sound understanding of process control with a sense of a different approach which helps in analyzing processes that further assist in making the right decisions.

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Section: Process Mapping Analysis and Controlmentioning

confidence: 99%

Benefit Using Statistical Process Control (Spc) for Process Control in Textile Manufacturing : A Review

Perkasa

2021

J. Mech. Sci. Eng.

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“…The fuzzy number does not arise, usually from real observations, but from more or less known concepts or conceptions. Second [35], it must be emphasized that fuzzy sets do not eliminate subjectivity, which is a real human phenomenon, however, in most decision-making, the decision maker would be aware of his subjectivity.…”

Section: The Fuzzy Systemmentioning

confidence: 99%

Swot Analysis Implemented With Fuzzy Inference to Support Decision Making

Lima

Nascimento

Alencar

et al. 2021

Int J Innov Educ Res

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Current market conditions require organizations to understand the business environment in order to achieve strategic planning and decision-making processes. An organization's competitive advantage is associated with an understanding of how to determine the potential of these companies when examining internal and external conditions (insertions) and the effort to meet customer needs. Among the many tools that contribute to this understanding, the SWOT analysis stands out, which can assist organizations to better understand the internal and external environment and formulate strategic plans in a collaborative way. This work aimed to implement an evaluation model for SWOT analysis using fuzzy inference methods. The adopted methodology started from a survey on the internal and external characteristics of the organization, definition of the linguistic criteria of the SWOT matrix, correlation between the variables found and elaboration of the fuzzy inference system for crossing the inputs. The approach proposed by the Fuzzy Inference model for the SWOT matrix proved to be simplified and efficient for a better collection of information that allows the prediction of the future environment, enabling reasoned strategies resulting from the model presented.

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Section: Introductionmentioning

confidence: 99%

“…The process capability can realize systematic statistical process capability control so as to determine the direction of process improvement by a decision-making method. 27 Besides, process capability was applied to evaluate process performance and the effectiveness of improvement measures. 28,29 Therefore, this study proposed a novel ETE-SDF to identify the critical variation sources of quality, solved the cross man-agement of information, and finally achieved the continuous improvement of the production process.…”

Section: Introductionmentioning

confidence: 99%

Original end-to-end smart diagnosis framework of systematic critical quality attributes meets FDA standards of phytomedicine by biosensor and multi-information fusion coupled with AI algorithm

Wang

et al. 2023

Green Chem.

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Fuzzy-inference-based decision-making method for the systematization of statistical process capability control

Cited by 16 publications

References 20 publications

Benefit Using Statistical Process Control (Spc) for Process Control in Textile Manufacturing : A Review

Benefit Using Statistical Process Control (Spc) for Process Control in Textile Manufacturing : A Review

Swot Analysis Implemented With Fuzzy Inference to Support Decision Making

Original end-to-end smart diagnosis framework of systematic critical quality attributes meets FDA standards of phytomedicine by biosensor and multi-information fusion coupled with AI algorithm

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